2018
Inferring phenotypes from substance use via collaborative matrix completion
Lu J, Sun J, Wang X, Kranzler H, Gelernter J, Bi J. Inferring phenotypes from substance use via collaborative matrix completion. BMC Systems Biology 2018, 12: 104. PMID: 30463556, PMCID: PMC6249733, DOI: 10.1186/s12918-018-0623-5.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsComputational BiologyFemaleGenotypeHumansMaleModels, StatisticalPhenotypeSubstance-Related DisordersConceptsRecent statistical methodsMatrix completion techniqueMatrix completionStatistical modelingStatistical methodsPhenotype imputationSpeed 20 timesBi-linear modelImputation methodsParallel algorithmSequential algorithmMultiple scalesSimilar genetic determinantsGood accuracyAlgorithmNew approachCompletion techniquesSample sizeAccuracyModel
2014
GPA: A Statistical Approach to Prioritizing GWAS Results by Integrating Pleiotropy and Annotation
Chung D, Yang C, Li C, Gelernter J, Zhao H. GPA: A Statistical Approach to Prioritizing GWAS Results by Integrating Pleiotropy and Annotation. PLOS Genetics 2014, 10: e1004787. PMID: 25393678, PMCID: PMC4230845, DOI: 10.1371/journal.pgen.1004787.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesFunctional annotationGWAS datasetsAnnotation informationStatistical approachMultiple GWAS datasetsGenome-wide markersPowerful statistical methodsSingle-phenotype analysisCentral nervous system genesRisk variantsNervous system genesGenotype-Tissue Expression (GTEx) databaseComplex diseasesGWAS data setsSignificant pleiotropic effectsCommon risk basisDifferent complex diseasesDNase-seq dataCell linesStatistical inferenceGenetic architectureGWAS hitsGWAS resultsNovel statistical approach
2009
Sources of unreliability in the diagnosis of substance dependence.
Feinn R, Gelernter J, Cubells JF, Farrer L, Kranzler HR. Sources of unreliability in the diagnosis of substance dependence. Journal Of Studies On Alcohol And Drugs 2009, 70: 475-81. PMID: 19371499, PMCID: PMC2670752, DOI: 10.15288/jsad.2009.70.475.Peer-Reviewed Original ResearchConceptsSubstance dependence diagnosesDrug dependenceCommon diagnosisCriterion countsSemi-Structured AssessmentOpioid dependencePsychiatric disordersMost diagnosesOccasion variabilityMental disordersSubstance dependenceDiagnosisStatistical ManualMarijuana dependenceReliable diagnosisFourth EditionDependence categoriesSubjects' reportsSubjectsExcellent reliabilityDisordersCountIndex of dependabilityReportInterviewers
1999
Population studies of polymorphisms of the serotonin transporter protein gene
Gelernter J, Cubells JF, Kidd JR, Pakstis AJ, Kidd KK. Population studies of polymorphisms of the serotonin transporter protein gene. American Journal Of Medical Genetics 1999, 88: 61-66. PMID: 10050969, DOI: 10.1002/(sici)1096-8628(19990205)88:1<61::aid-ajmg11>3.0.co;2-k.Peer-Reviewed Original ResearchConceptsAllele frequency variationImportant genetic variationTransporter protein geneSerotonin transporter protein geneProtein lociGenetic variationProtein geneAssociation studiesFunctional significancePopulation stratificationDepression-related phenotypesAllele frequenciesHaplotype frequenciesLociPolymorphismSLC6A4 polymorphismsGenesGlobal variationVNTR polymorphismPhenotypeDisequilibriumPopulationVariationPromoter polymorphismPopulation studies
1989
Detection of marker associations with a dominant disease gene in genetically complex and heterogeneous diseases.
Gershon ES, Martinez M, Goldin L, Gelernter J, Silver J. Detection of marker associations with a dominant disease gene in genetically complex and heterogeneous diseases. American Journal Of Human Genetics 1989, 45: 578-85. PMID: 2491015, PMCID: PMC1683506.Peer-Reviewed Original Research